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MuscleExpert Software

Authors: Lanza, Marcel B.;

MuscleExpert Software

Abstract

MuscleExpert – Version 1d (EN) MuscleExpert is a semi-automatic, Python-based desktop application developed by Dr. Marcel Bahia Lanza for the analysis of ultrasound images, with a primary focus on muscle size and muscle quality. The software is designed to streamline and standardize image-based muscle assessment through an intuitive graphical interface, supporting researchers and clinicians working in muscle imaging, aging, physical rehabilitation, exercise physiology, and related health sciences. 👉 MuscleExpert is a standalone application and does not require any additional software to run. MuscleExpert allows users to load ultrasound images in multiple formats—including DICOM, JPEG, PNG, TIFF, BMP, and other common image formats—and perform region-of-interest (ROI) analysis using manual polygon drawing. From these ROIs, the software automatically calculates muscle area, muscle thickness, and grayscale-based muscle quality metrics. The application includes adjustable brightness and contrast filters, grayscale histogram analysis, and flexible data export options. Results can be saved as Excel files or copied directly from the interface for further statistical or clinical analysis. To improve accuracy and usability, MuscleExpert includes semi-automatic image calibration. When available, pixel spacing is extracted directly from image metadata. When metadata are absent or incomplete, users are prompted to perform manual calibration using the ultrasound probe field-of-view width, ensuring consistency across imaging systems. Manual calibration is supported for standard B-mode ultrasound images (longitudinal or transversal views). Panoramic images are supported only when valid calibration metadata are available, as probe-based manual calibration is not applicable. Video Tutorial here: https://www.youtube.com/watch?v=Pf1BY5KDT9Q 🔹 New in Version 1d Improved ROI drawing precision Vertex markers used for polygon drawing have been reduced in size, allowing for more precise and anatomically accurate ROI delineation. During polygon creation, a guiding line is now dynamically displayed between consecutive points, helping users visually track the ROI contour as it is being drawn. Expanded image loading compatibility Image files no longer need to use the .dcm extension to be recognized as DICOM images. The software now reliably opens DICOM files regardless of filename extension, improving compatibility with datasets exported from different ultrasound systems. General usability refinements Minor interface and interaction improvements enhance drawing stability and overall user experience during ROI definition and editing. 🔹 Availability Windows (Version 1d – NEW)Digitally signed with an official Windows code signing certificate. Downloads: MuscleExpert_English_Version_1d_Windows.exe MuscleExpert_Versão_1d_Portugues_Windows.exe macOS (Version 1d – NEW)Digitally signed with an Apple Developer code signing certificate. Downloads: MuscleExpert_English_Version_1d_Mac.dmg MuscleExpert_Versão_1d_Portugues_Mac.dmg MuscleExpert is currently available in English and Portuguese, with a Spanish version planned for future releases. ℹ️ Additional Information MuscleExpert was independently developed by Dr. Marcel Bahia Lanza. The University of Maryland, Baltimore provided institutional support exclusively for the acquisition of the Windows code signing certificate. No additional financial or technical contributions were made. Feedback and feature suggestions are welcome.📧 Contact: marcel.lanza@gmail.com Please cite this software using the DOI provided on this Zenodo page. MuscleExpert – Versão 1d (PT) MuscleExpert é um aplicativo de desktop semiautomático, desenvolvido em Python pelo Dr. Marcel Bahia Lanza, para a análise de imagens de ultrassom, com foco principal no tamanho e na qualidade muscular. O software foi projetado para agilizar e padronizar avaliações musculares baseadas em imagem por meio de uma interface gráfica intuitiva, atendendo pesquisadores e profissionais das áreas de imagem muscular, envelhecimento, reabilitação física, fisiologia do exercício e áreas afins da saúde. 👉 O MuscleExpert é um aplicativo independente e não requer nenhum outro software para funcionar. O MuscleExpert permite o carregamento de imagens de ultrassom em diversos formatos — incluindo DICOM, JPEG, PNG, TIFF, BMP e outros formatos comuns — e a análise de regiões de interesse (ROI) por meio do desenho manual de polígonos. A partir dessas ROIs, o software calcula automaticamente área muscular, espessura muscular e métricas de qualidade muscular baseadas em escala de cinza. A aplicação inclui ajustes de brilho e contraste, análise de histogramas de cinza e opções flexíveis de exportação dos resultados, que podem ser salvos em Excel ou copiados diretamente da interface. Para melhorar a precisão e a usabilidade, o MuscleExpert oferece calibração semiautomática das imagens. Quando disponíveis, informações de espaçamento de pixels são extraídas diretamente dos metadados da imagem. Na ausência desses dados, o usuário é orientado a realizar a calibração manual com base no campo de visão da sonda de ultrassom, garantindo medições consistentes entre diferentes sistemas. A calibração manual é compatível apenas com imagens padrão de ultrassom em modo B (longitudinais ou transversais). Imagens panorâmicas são compatíveis apenas quando metadados válidos de calibração estão disponíveis, uma vez que a calibração manual baseada na sonda não é aplicável. Tutorial aqui: https://www.youtube.com/watch?v=Pf1BY5KDT9Q 🔹 Novidades da Versão 1d Maior precisão no desenho das ROIs Os marcadores dos vértices do polígono foram reduzidos, permitindo um delineamento mais preciso e anatomicamente fiel das ROIs. Durante o desenho do polígono, uma linha guia é exibida dinamicamente entre os pontos, auxiliando o usuário a visualizar o contorno da ROI enquanto ela é criada. Compatibilidade ampliada para carregamento de imagens Arquivos DICOM não precisam mais possuir a extensão .dcm para serem reconhecidos corretamente. O software agora abre imagens DICOM independentemente da extensão do arquivo, aumentando a compatibilidade com diferentes sistemas de ultrassonografia. Aprimoramentos gerais de usabilidade Pequenas melhorias na interface e na interação tornam o processo de desenho e ajuste das ROIs mais estável e intuitivo. 🔹 Disponibilidade Windows (Versão 1d – NOVA)Assinado digitalmente com certificado oficial de código para Windows. Downloads: MuscleExpert_English_Version_1d_Windows.exe MuscleExpert_Versão_1d_Portugues_Windows.exe macOS (Versão 1d – NOVA)Assinado digitalmente com certificado oficial de desenvolvedor Apple. Downloads: MuscleExpert_English_Version_1d_Mac.dmg MuscleExpert_Versão_1d_Portugues_Mac.dmg O MuscleExpert está disponível em português e inglês, com versão em espanhol planejada para futuras atualizações. ℹ️ Informações adicionais O MuscleExpert foi desenvolvido de forma independente pelo Dr. Marcel Bahia Lanza. A University of Maryland, Baltimore forneceu apoio institucional exclusivamente para a aquisição do certificado de assinatura digital do Windows. Nenhuma outra contribuição financeira ou técnica foi realizada. 💬 Sugestões e feedback são bem-vindos.📧 Contato: marcel.lanza@gmail.com Para citar este software, utilize o DOI disponível nesta página do Zenodo. If you want, next we can: add a short “Version history” box (1b → 1c → 1d), or tighten this further for journal reviewers, or create a one-paragraph “What changed in v1d” blurb specifically for social media or email announcements.

Related Organizations
Keywords

muscle structure, gray scale, muscle area, muscle quality, echo-intensity, muscle size, muscle morphology, muscle thickness, muscle image

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average